Diagnosis of Rotor and Stator Faults by Fast Fourier Transform and Discrete Wavelet in Induction Machine

Dehina, Wissam; Boumehraz, Mohamed; Kratz, Frédéric

doi:10.1109/cistem.2018.8613311

Cited by 14 publications

(7 citation statements)

References 9 publications

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“…In the case of the FFT, it is impossible to analyze non-stationary signals as these signals have a complex structure with a different set of frequencies, which allows additional spectra to occur in the spectral analysis of the FFT. Furthermore, it is necessary to use a window weighting function f(σ) for the waveform to compensate for spectral dissipation, reducing the loss of information [51][52][53][54].…”

Section: Fast Fourier Transformmentioning

confidence: 99%

Analysis of possible faults and diagnostic methods of the Cartesian industrial robot

Autsou¹,

Kudelina²,

Rassõlkin³

et al. 2022

PEAS

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The paper discusses problems that occur in robotic arm control. The specific problems arise due to the wear of various types of gears (in the presented case, belt gear and worm gear). It is important to note that such errors need to be diagnosed in time, and the way of their elimination has to be determined, which should be resource-intensive and cost-effective. This article describes the basic types of robotic manipulators (robotic arm, telpher and Cartesian), presenting a review and study of the possibilities of errors in the movement of a robot, adjustment of a mechanical system, and determination of a strategy for solving the emerging problems. A comparison between various types of gear faults is also provided. Different ways of diagnosing faults are discussed, based on the advantages and disadvantages of the methods. The main objective of this study is to provide a complete overview of the mechanical areas where disturbances occur, their diagnosing, and methods of their elimination.

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Section: Fast Fourier Transformmentioning

confidence: 99%

Analysis of possible faults and diagnostic methods of the Cartesian industrial robot

Autsou¹,

Kudelina²,

Rassõlkin³

et al. 2022

PEAS

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“…Exemplos mais recentes sobre a aplicação de wavelets na detecção da condição de um motor de indução podem ser encontrados em (DEHINA et al, 2018;GARVANOV et al, 2019;BELKHOU et al, 2019). Onde: Para a transformada Wavelet discreta (DWT), a ideia principal é a mesma do caso da transformada contínua (CWT).…”

Section: Análise Por Transformada De Waveletunclassified

“…Portanto, os sistemas de diagnóstico ou monitoramento das condições do motor receberam considerável atenção nos últimos 10 anos (DEHINA et al, 2018;GEORGOULAS et al, 2014;PU et al, 2013). A falha de barras quebradas em rotores de gaiola de esquilo raramente causa danos imediato, especialmente em grandes motores multipolares (velocidade lenta).…”

Section: Introductionunclassified

Inteligência Artificial Para Identificar O Uso De Máscara Na Prevenção Da Covid-19

Graças¹,

Oliveira²,

Brandao³

et al. 2021

Coleção Desafios Das Engenharias: Engenharia De Computação 2

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“…The motor current signature analysis master of science in customer (MSCA) [14], [15] is included on the extraction approaches. It is powerful in detecting broken bars and end rings and based on spectal analysis method using fast fourier transform [12]- [17] and discrete wavelet transform (DWT) [8], [9]. The auxiliary winding voltage is a new method used for diagnosising the squirrel cage induction machine [18], [19].…”

Section: Introductionmentioning

confidence: 99%

Squirrel cage induction motor fault diagnosis using lissajous curve of an auxiliary winding voltage: case of broken bars

Khadouj

Lamiaà

Saâd

2021

IJEECS

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The detection of incipient faults has attracted industrials and researchers specific attention in order to prevent the motor breakdown, improve its reability and increase its lifetime. This paper presents a squirrel cage induction machine broken bar and rings diagnosis approach. This technic uses a new monitored signal as an auxiliary winding voltage related to a small coil inserted between two stator phases. Monitoring behaviors of the Lissajous curve of this auxiliary winding voltage park components under different load levels is the main key of this study. For this purpose, the squirrel cage induction machine modeling and the explicit expressions developed for the inserted winding voltage and its Park components will be presented. Then, an induction machine with different broken cases: one broken bar, two broken bars, broken end ring and broken bars with end ring are investigated. The simulation results confirm the validity of the proposed approach.

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Diagnosis of Rotor and Stator Faults by Fast Fourier Transform and Discrete Wavelet in Induction Machine

Cited by 14 publications

References 9 publications

Analysis of possible faults and diagnostic methods of the Cartesian industrial robot

Analysis of possible faults and diagnostic methods of the Cartesian industrial robot

Inteligência Artificial Para Identificar O Uso De Máscara Na Prevenção Da Covid-19

Squirrel cage induction motor fault diagnosis using lissajous curve of an auxiliary winding voltage: case of broken bars

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